A novel variant of deep convolutional neural network for classification of ovarian tumors using CT images
A Kodipalli, SV Devi, S Dasar, T Ismail - Computers and Electrical …, 2023 - Elsevier
Deep Learning models have shown tremendously impressive performance on image
classification tasks. In the medical imaging domain, progress has been made in obtaining …
classification tasks. In the medical imaging domain, progress has been made in obtaining …
Squamous cell carcinoma of skin cancer margin classification from digital histopathology images using deep learning
BD Wako, K Dese, RE Ulfata, TA Nigatu… - Cancer …, 2022 - journals.sagepub.com
Objectives Now a days, squamous cell carcinoma (SCC) margin assessment is done by
examining histopathology images and inspection of whole slide images (WSI) using a …
examining histopathology images and inspection of whole slide images (WSI) using a …
Skin Cancer Classification Using ConvNeXtLarge Architecture
P Raymahapatra, AK Chaudhuri, S Das - Computer Vision and AI … - taylorfrancis.com
The objective of this research work is to classify skin cancer images into two different classes
using convolutional neural networks (CNNs) with ConvNeXtLarge architecture. The two …
using convolutional neural networks (CNNs) with ConvNeXtLarge architecture. The two …
[引用][C] 11 Skin Cancer
P Raymahapatra, AK Chaudhuri, S Das - Computer Vision and AI …, 2024 - CRC Press